Senior AI/ML Consultant, AWS Professional Services

AmazonWebServices; Greater London; On-site; GBP 63,000 - 103,000; Full time

Job summary

As a Senior AI/ML Consultant in AWS Professional Services, you will lead delivery of enterprise-grade AI and ML solutions. You’ll shape technical strategy, guide teams, and advise customers through AI transformations from London-based offices to client sites.

London, Manchester, Bristol or Cambridge locations are available; AWS culture emphasises inclusion, mentorship, and career development while supporting work-life harmony.

Qualifications

Responsibilities

Job description

Salary: £63,000 - 103,000 per year

Requirements:

• Bachelors degree or experience in a professional field or military
• Experience as a technical specialist in design and architecture
• Experience with databases such as SQL, NoSQL, Hadoop, Spark, Kafka, or Kinesis
• Experience consulting on, designing, and implementing serverless distributed solutions
• Software development experience with an object-oriented language
• Experience with cloud-based solutions (AWS or equivalent), systems, networks, and operating systems
• Experience with external- or internal-customer-facing, complex, large-scale project management
• Experience building complex, highly scalable systems involving predictive models or machine learning applications
• Experience in data and machine learning engineering and cloud-native technologies
• Eligibility to obtain and maintain UK Government Security Clearance
• Preferred: Masters degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or a PhD
• Preferred: Knowledge of AWS services such as EC2, ELB, RDS, VPC, Route 53, and S3
• Preferred: Experience with the software development life cycle and agile or iterative methodologies
• Preferred: Experience facilitating discussions with senior leadership about technical and architectural trade-offs, best practices, and risk mitigation
• Preferred: Experience creating and delivering written and oral communications for technical and non-technical audiences
• Preferred: Python experience and hands-on experience building models with deep learning frameworks such as TensorFlow, Keras, PyTorch, or MXNet

Responsibilities:

• Lead complex AI/ML engagements from strategic planning through pre-production deployment and optimisation
• Architect and implement advanced solutions using AWS AI/ML services, particularly generative AI with Amazon Bedrock and SageMaker
• Provide technical leadership and mentor junior consultants while promoting best practices across delivery teams
• Partner with customers to translate business challenges into measurable machine learning outcomes and delivery roadmaps
• Drive applied AI/ML innovation and contribute methodologies and reusable solutions across our practice
• Influence customer AI strategy with technical expertise and industry insights
• Lead multidisciplinary teams and coordinate stakeholders to deliver high-impact AI solutions
• Provide thought leadership in internal and external engagements
• Support presales activities by providing technical expertise and reviewing project scope and risks

Technologies:

• AI
• AWS
• Architect
• Cloud
• EC2
• Hadoop
• Support
• Kafka
• Keras
• Machine Learning
• NoSQL
• PyTorch
• Python
• SQL
• Security
• Serverless
• Spark
• TensorFlow
• Network
• Web

More:

As a Senior AI/ML Consultant in AWS Professional Services, you will lead delivery of advanced AI and machine learning solutions for enterprise customers, shape technical strategy, and advise customers through their AI transformation. The role is based at our AWS offices in London, Manchester, Bristol, or Cambridge when you are not at a customer site. We are AWS, a comprehensive and widely adopted cloud platform, and we value diverse experiences, inclusion, mentorship, career development, and work-life harmony. Our employee-led affinity groups, learning opportunities, and knowledge-sharing resources support our peoples growth. We are an equal opportunity employer and can provide workplace accommodations during the application and hiring process.